DeepSeek Prover V2 by DeepSeek — Pricing, Benchmarks & Real Outputs
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Alternatives to DeepSeek Prover V2
DeepSeek Prover V2 is good. These would like a word anyway.
DeepSeek Prover V2 is good. These would like a word anyway.
DeepSeek Prover V2 is good. These would like a word anyway.
A 671B parameter model, speculated to be geared towards logic and mathematics. Likely an upgrade from DeepSeek-Prover-V1.5. Released on Hugging Face without an announcement or description.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"deepseek/deepseek-prover-v2" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
The math tutor who wandered into an open mic night. Structures comedy with section headers like it is submitting a proof. Would label its punchlines if the format allowed it.
A math-focused model forced into creative territory. Its standup routine uses bold section headers like "Dating Profile," "First Dates," "Closing" as if comedy requires a table of contents. The jokes are generic dating app observations. Follows the spec to the letter and adds nothing beyond it.
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
6 outputs from DeepSeek Prover V2
A 671B parameter model, speculated to be geared towards logic and mathematics. Likely an upgrade from DeepSeek-Prover-V1.5. Released on Hugging Face without an announcement or description.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"deepseek/deepseek-prover-v2" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
The math tutor who wandered into an open mic night. Structures comedy with section headers like it is submitting a proof. Would label its punchlines if the format allowed it.
A math-focused model forced into creative territory. Its standup routine uses bold section headers like "Dating Profile," "First Dates," "Closing" as if comedy requires a table of contents. The jokes are generic dating app observations. Follows the spec to the letter and adds nothing beyond it.
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
6 outputs from DeepSeek Prover V2